Jiaxin Shan
260d40b5ea
[Core] Support Lora lineage and base model metadata management ( #6315 )
2024-09-20 06:20:56 +00:00
Jiaxin Shan and Jee Jee Li
db3bf7c991
[Core] Support load and unload LoRA in api server ( #6566 )
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Co-authored-by: Jee Jee Li <pandaleefree@gmail.com >
2024-09-05 18:10:33 -07:00
SangBin Cho
ff7ec82c4d
[Core] Optimize SPMD architecture with delta + serialization optimization ( #7109 )
2024-08-18 17:57:20 -07:00
Jiaxin Shan and Antoni Baum
42c7f66a38
[Core] Support dynamically loading Lora adapter from HuggingFace ( #6234 )
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Co-authored-by: Antoni Baum <antoni.baum@protonmail.com >
2024-07-22 15:42:40 -07:00
4d6ada947c
[CORE] Adding support for insertion of soft-tuned prompts ( #4645 )
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Co-authored-by: Swapnil Parekh <swapnilp@ibm.com >
Co-authored-by: Joe G <joseph.granados@h2o.ai >
Co-authored-by: Antoni Baum <antoni.baum@protonmail.com >
2024-07-09 13:26:36 -07:00
SangBin Cho
2e9a2227ec
[Lora] Support long context lora ( #4787 )
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Currently we need to call rotary embedding kernel for each LoRA, which makes it hard to serve multiple long context length LoRA. Add batched rotary embedding kernel and pipe it through.
It replaces the rotary embedding layer to the one that is aware of multiple cos-sin-cache per scaling factors.
Follow up of https://github.com/vllm-project/vllm/pull/3095/files
2024-05-18 16:05:23 +09:00
9b945daaf1
[Experimental] Add multi-LoRA support ( #1804 )
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Co-authored-by: Chen Shen <scv119@gmail.com >
Co-authored-by: Shreyas Krishnaswamy <shrekris@anyscale.com >
Co-authored-by: Avnish Narayan <avnish@anyscale.com >
2024-01-23 15:26:37 -08:00
Jiaxin Shan